Closing Genomes with Long Span NGS Reads for Research and Clinical Applications | GenomeWeb
October 29, 2015
Sponsored by
Lucigen

Closing Genomes with Long Span NGS Reads for Research and Clinical Applications

GenomeWebinar

Associate Professor, Department of Biological Sciences, Auburn University

Research Geneticist, US Department of Agriculture Agricultural Research Service 

Professor of Laboratory Medicine & Pathology, Mayo Clinic

This webinar will focus on a range of research and clinical applications enabled by improvements in mate pair technology for whole genome sequencing. 

Speakers will discuss their use of Lucigen's NxSeq long mate pair library kit for a number of applications, including closing and finishing microbial genomes, resolving complex plant organelle genomes, and characterizing genetic alterations in cancer. 

Mark Liles, associate professor at Auburn University, will describe his use of the technology to finish multiple bacterial genomes using a single 10-20 kb mate pair library in conjunction with a conventional 600 bp paired end fragment library. His presentation will address the implications of this approach for assembling repeat-rich, complex genomes from fungi, mitochondria, chloroplasts, plants, and animals. 

Bob Klein, research geneticist at the US Department of Agriculture's Agricultural Research Service, will share details of a project to sequence and assemble the mitochondrial and chloroplast genomes of sorghum. De novo sequence assembly of these large, repeat-rich interrelated genomes is complicated by significant lateral gene transfer between the organelles, but his team was able to use a new long span mate pair library construction strategy to unambiguously assemble both genomes. 

Finally, David Smith, professor of laboratory medicine and pathology at the Mayo Clinic, will discuss the use of next-generation sequencing in cancer management In particular, he will focus on the use of mate pair sequencing to characterize genomic alterations in an individual cancer and how this knowledge can be used to both monitor the cancer through treatment regimens and to develop the most appropriate clinical regimen for that cancer.

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